class_docstr: Dataset of penguin tabular data.
  
  From https://www.tensorflow.org/datasets/catalog/penguins.
code: def lit_example_from_record(
      cls, rec: Mapping[str, Union[float, int]]
  ):
      return {
          "body_mass_g": rec["body_mass_g"],
          "culmen_depth_mm": rec["culmen_depth_mm"],
          "culmen_length_mm": rec["culmen_length_mm"],
          "flipper_length_mm": rec["flipper_length_mm"],
          "island": VOCABS["island"][rec["island"]],
          "sex": VOCABS["sex"][rec["sex"]],
          "species": VOCABS["species"][rec["species"]],
      }
  
file_path: lit/lit_nlp/examples/datasets/penguin_data.py
imports: from collections.abc import Mapping
  from typing import Optional, Union
  from lit_nlp.api import dataset
  from lit_nlp.api import types
  import tensorflow_datasets
label_desc: Use image node_id 1 for calling the PenguinDataset obj's underlying member method code with example usage: obj.lit_example_from_record(cls, rec) and returns: dict